TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...
Analytics Insight

Top Pandas Courses and Certifications for Python in 2026

Overview Pandas continues to be a core Python skill in 2026, powering data analysis, cleaning, and engineering workflows ...
North Penn Now

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Sophelio Launches Data Fusion Labeler (dFL) to Accelerate Sensor Data Preparation for Machine Learning

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization studio built for multimodal time-series with full provenance you can replay “dFL ...
GitHub

AtlasMap: enabling low-cost, map-style exploration of million-cell single-cell atlases

atlasmap-sc/ ├── preprocessing/ # Python preprocessing pipeline │ ├── atlasmap_preprocess/ │ │ ├── pipeline.py # Main pipeline │ │ ├── binning/ # Quadtree binning │ │ └── io/ # Zarr & SOMA I/O ...
InfoQ

Training Data Preprocessing for Text-to-Video Models

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...
Harvard Business Review

Mitigating the Public Health Impacts of AI Data Centers

AI is transforming industries, fueling innovation, and addressing some of society’s most urgent challenges. From humanoid robotics to drought management, AI’s promise can feel boundless. Yet as demand ...
VentureBeat

AI coding transforms data engineering: How dltHub's open-source Python library helps developers create data pipelines for AI in minutes

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...
ascopubs.org

Leveraging Centralized Health System Data Management and Large Language Model–Based Data Preprocessing to Identify Predictors for Radiation Therapy Interruption

We analyzed demographic, behavioral, clinical, and neighborhood-level data for 2,130 patients treated with radiotherapy at the University of Tennessee Medical Center in Knoxville. Treatment ...
Microsoft

Microsoft Announces In-Country Data Processing for Microsoft 365 Copilot in the UAE to Accelerate AI Adoption

Dubai, UAE – October 14, 2025 – Microsoft today announced a strategic investment to enable local data processing for Microsoft 365 Copilot in the United Arab Emirates, exclusively for qualified UAE ...
IEEE

A Self-Adaptive Data Preprocessing Pipeline for Machine Learning: An Automated and Dynamic Approach

Abstract: The optimization and generalization of performance of a machine learning model is profoundly influenced by efficient data preprocessing. A machine's learning model does not perform to its ...